Scientist Policy Learning Jobs in Austin, TX

…into real environments, operate them, learn from them, and improve them until they work at scale.

…control pipeline, ensuring that Reinforcement Learning (RL) policies trained in simulation successfully transfer to

Proficiency in statistics, machine learning, and data-driven decision-making.

…Motion Planning, Trajectory Optimization, Reinforcement Learning, Actuation.

Apply Monetization Integrity policy with precision and judgment across sensitive and regulated categories.

Learned Policy Integration: Experience integrating reinforcement learning or other learned policies into a real-time control stack.

…regulations and Neuralink’s data privacy policies.

…what matters, act quickly, and learn by doing.

…highly technical engineers to non-technical scientists and clinicians.

…what matters, act quickly, and learn by doing.

…what matters, act quickly, and learn by doing.

Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products.

…what matters, act quickly, and learn by doing.